Electronic learning- virtual
N. Barari; M. Rezaeizadeh; A.t Khorasani; F. Alami
Abstract
Background and Objective:The separation of learner and teacher from each other in e-learning, has made feedback as the most important challenge in this type of learning. Despite, there is no comprehensive framework based on the science of education, so that how to create educational feedback based on ...
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Background and Objective:The separation of learner and teacher from each other in e-learning, has made feedback as the most important challenge in this type of learning. Despite, there is no comprehensive framework based on the science of education, so that how to create educational feedback based on learning objectives. The purpose of this study was to compilation the educational standards and their indicators based on the Bloom- Methods: Anderson’s taxonomy for design effective and on time feedback for any educational goal. Qualitative research approach is used and based this approach, the phenomenological design strategy has been used. The population included 12 persons of subject matter and faculty member in academic e-learning centers which were selected through purposeful sampling. Those individuals included in the sample who had three characteristics: a) academic education in e-learning, b) teaching in higher education in the faculties of educational sciences, and c) working in e-learning centers of universities and educational institutions. To gather data semi-structured interviews were used. Qualitative data generated from interviews were coded and analysis by Corbin and Strauss method and Maxquda software. Findings: The results of the study led to the development of 4 educational standards and 25 indicators based on the Bloom-Anderson’s taxonomy to design a comprehensive feedback in the field of e-learning. According to the results of this study, educational technologists can evaluate or design more effective e-learning environments. Conclusion: Overall, feedback plays a key role in e-learning process that can pave the way for identifying problems in the teaching-learning process and proposing improvements to these challenges. However, timing of the feedback is critical. Lack of time shows that the potential benefits of feedback are often not achieved, and instructors are often unable to provide feedback tailored to educational conditions and goals. The results of this study can provide appropriate design and presenting of the feedback with the aim of learning and effective use of educational technologies at the right time. In this regard it can help designers of e-learning environments in a way that the right time to provide feedback is not wasted and always provide feedback at the right time and in the right way. Based on the results of the research, evaluators and administrators of e-learning environments can use the e-learning evaluation form of the paper prepared based on the standards and criteria in a Likert scale to evaluate the feedback method of e-learning instructors.
Electronic learning- virtual
F. Zolfaghari; A. Rahati
Abstract
Designing an educational system is costly and a time consuming task, hence, providing electronic learning modules according to the characteristics of each learner in order to reduce the learning time and increase productivity of education is very important. The purpose of this study is to provide an ...
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Designing an educational system is costly and a time consuming task, hence, providing electronic learning modules according to the characteristics of each learner in order to reduce the learning time and increase productivity of education is very important. The purpose of this study is to provide an electronic module according to the learning characteristics of each student, using some of the e-Learning standards, learning theories , memetic algorithm and also assess the learning outcomes of this approach. At the stage of subject preparation to teach each concept, a set of maximum possible learning activities is provided with different materials such as slides, lectures, etc. The compatibility between the activities and characteristics of student who want to learn is produced based on the theory of Folder on learning styles and Bloom's theory for knowledge classification. Student learning styles are designed based on a questionnaire using Folder approach and testing of his/her knowledge is extracted based on Bloom's theory and learning path which is include the proper ordering of learning activities is produced based on memetic algorithm. The populations of this study were 40 girls of third-year computer science class of high school in Zahedan. They were selected randomly. They have been subdivided into two groups of 20 randomly. The proposed system is trained with 20 people and 20 people have traditionally learned their lesson. Comparison between the proposed approach and traditional method in term of quality of education were performed. The results indicate that the proposed method has good quality.
